mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-10 18:23:55 +00:00
756 lines
29 KiB
Python
756 lines
29 KiB
Python
"""
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Tests in this file do NOT mock network calls, so they are expected to be fluky at times.
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However, these tests should give a good idea to determine if a new exchange is
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suitable to run with freqtrade.
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"""
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from copy import deepcopy
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from datetime import datetime, timedelta, timezone
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from pathlib import Path
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from typing import Tuple
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import pytest
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from freqtrade.constants import Config
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from freqtrade.enums import CandleType
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from freqtrade.exchange import timeframe_to_minutes, timeframe_to_prev_date
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from freqtrade.exchange.exchange import Exchange, timeframe_to_msecs
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from freqtrade.resolvers.exchange_resolver import ExchangeResolver
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from tests.conftest import EXMS, get_default_conf_usdt
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EXCHANGE_FIXTURE_TYPE = Tuple[Exchange, str]
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# Exchanges that should be tested
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EXCHANGES = {
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'bittrex': {
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'pair': 'BTC/USDT',
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'stake_currency': 'USDT',
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'hasQuoteVolume': False,
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'timeframe': '1h',
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'leverage_tiers_public': False,
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'leverage_in_spot_market': False,
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},
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'binance': {
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'pair': 'BTC/USDT',
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'stake_currency': 'USDT',
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'use_ci_proxy': True,
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'hasQuoteVolume': True,
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'timeframe': '1h',
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'futures': True,
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'futures_pair': 'BTC/USDT:USDT',
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'hasQuoteVolumeFutures': True,
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'leverage_tiers_public': False,
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'leverage_in_spot_market': False,
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'sample_order': [{
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"symbol": "SOLUSDT",
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"orderId": 3551312894,
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"orderListId": -1,
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"clientOrderId": "x-R4DD3S8297c73a11ccb9dc8f2811ba",
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"transactTime": 1674493798550,
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"price": "15.50000000",
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"origQty": "1.10000000",
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"executedQty": "0.00000000",
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"cummulativeQuoteQty": "0.00000000",
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"status": "NEW",
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"timeInForce": "GTC",
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"type": "LIMIT",
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"side": "BUY",
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"workingTime": 1674493798550,
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"fills": [],
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"selfTradePreventionMode": "NONE",
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}]
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},
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'binanceus': {
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'pair': 'BTC/USDT',
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'stake_currency': 'USDT',
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'hasQuoteVolume': True,
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'timeframe': '1h',
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'futures': False,
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'sample_order': [{
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"symbol": "SOLUSDT",
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"orderId": 3551312894,
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"orderListId": -1,
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"clientOrderId": "x-R4DD3S8297c73a11ccb9dc8f2811ba",
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"transactTime": 1674493798550,
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"price": "15.50000000",
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"origQty": "1.10000000",
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"executedQty": "0.00000000",
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"cummulativeQuoteQty": "0.00000000",
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"status": "NEW",
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"timeInForce": "GTC",
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"type": "LIMIT",
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"side": "BUY",
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"workingTime": 1674493798550,
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"fills": [],
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"selfTradePreventionMode": "NONE",
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}]
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},
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'kraken': {
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'pair': 'BTC/USDT',
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'stake_currency': 'USDT',
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'hasQuoteVolume': True,
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'timeframe': '1h',
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'leverage_tiers_public': False,
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'leverage_in_spot_market': True,
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},
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'kucoin': {
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'pair': 'XRP/USDT',
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'stake_currency': 'USDT',
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'hasQuoteVolume': True,
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'timeframe': '1h',
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'leverage_tiers_public': False,
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'leverage_in_spot_market': True,
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'sample_order': [
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{'id': '63d6742d0adc5570001d2bbf7'}, # create order
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{
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'id': '63d6742d0adc5570001d2bbf7',
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'symbol': 'SOL-USDT',
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'opType': 'DEAL',
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'type': 'limit',
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'side': 'buy',
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'price': '15.5',
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'size': '1.1',
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'funds': '0',
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'dealFunds': '17.05',
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'dealSize': '1.1',
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'fee': '0.000065252',
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'feeCurrency': 'USDT',
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'stp': '',
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'stop': '',
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'stopTriggered': False,
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'stopPrice': '0',
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'timeInForce': 'GTC',
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'postOnly': False,
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'hidden': False,
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'iceberg': False,
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'visibleSize': '0',
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'cancelAfter': 0,
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'channel': 'API',
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'clientOid': '0a053870-11bf-41e5-be61-b272a4cb62e1',
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'remark': None,
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'tags': 'partner:ccxt',
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'isActive': False,
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'cancelExist': False,
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'createdAt': 1674493798550,
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'tradeType': 'TRADE'
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}],
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},
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'gate': {
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'pair': 'BTC/USDT',
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'stake_currency': 'USDT',
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'hasQuoteVolume': True,
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'timeframe': '1h',
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'futures': True,
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'futures_pair': 'BTC/USDT:USDT',
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'hasQuoteVolumeFutures': True,
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'leverage_tiers_public': True,
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'leverage_in_spot_market': True,
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'sample_order': [
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{
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"id": "276266139423",
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"text": "apiv4",
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"create_time": "1674493798",
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"update_time": "1674493798",
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"create_time_ms": "1674493798550",
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"update_time_ms": "1674493798550",
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"status": "closed",
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"currency_pair": "SOL_USDT",
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"type": "limit",
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"account": "spot",
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"side": "buy",
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"amount": "1.1",
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"price": "15.5",
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"time_in_force": "gtc",
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"iceberg": "0",
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"left": "0",
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"fill_price": "17.05",
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"filled_total": "17.05",
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"avg_deal_price": "15.5",
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"fee": "0.0000018",
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"fee_currency": "SOL",
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"point_fee": "0",
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"gt_fee": "0",
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"gt_maker_fee": "0",
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"gt_taker_fee": "0.0015",
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"gt_discount": True,
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"rebated_fee": "0",
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"rebated_fee_currency": "USDT"
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},
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{
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# market order
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'id': '276401180529',
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'text': 'apiv4',
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'create_time': '1674493798',
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'update_time': '1674493798',
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'create_time_ms': '1674493798550',
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'update_time_ms': '1674493798550',
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'status': 'cancelled',
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'currency_pair': 'SOL_USDT',
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'type': 'market',
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'account': 'spot',
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'side': 'buy',
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'amount': '17.05',
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'price': '0',
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'time_in_force': 'ioc',
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'iceberg': '0',
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'left': '0.0000000016228',
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'fill_price': '17.05',
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'filled_total': '17.05',
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'avg_deal_price': '15.5',
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'fee': '0',
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'fee_currency': 'SOL',
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'point_fee': '0.0199999999967544',
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'gt_fee': '0',
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'gt_maker_fee': '0',
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'gt_taker_fee': '0',
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'gt_discount': False,
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'rebated_fee': '0',
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'rebated_fee_currency': 'USDT'
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}
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],
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},
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'okx': {
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'pair': 'BTC/USDT',
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'stake_currency': 'USDT',
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'hasQuoteVolume': True,
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'timeframe': '1h',
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'futures': True,
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'futures_pair': 'BTC/USDT:USDT',
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'hasQuoteVolumeFutures': False,
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'leverage_tiers_public': True,
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'leverage_in_spot_market': True,
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},
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'bybit': {
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'pair': 'BTC/USDT',
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'stake_currency': 'USDT',
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'hasQuoteVolume': True,
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'timeframe': '1h',
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'futures_pair': 'BTC/USDT:USDT',
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'futures': True,
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'leverage_tiers_public': True,
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'leverage_in_spot_market': True,
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'sample_order': [
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{
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"orderId": "1274754916287346280",
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"orderLinkId": "1666798627015730",
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"symbol": "SOLUSDT",
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"createTime": "1674493798550",
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"orderPrice": "15.5",
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"orderQty": "1.1",
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"orderType": "LIMIT",
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"side": "BUY",
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"status": "NEW",
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"timeInForce": "GTC",
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"accountId": "5555555",
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"execQty": "0",
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"orderCategory": "0"
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}
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]
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},
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'huobi': {
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'pair': 'ETH/BTC',
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'stake_currency': 'BTC',
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'hasQuoteVolume': True,
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'timeframe': '1h',
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'futures': False,
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},
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'bitvavo': {
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'pair': 'BTC/EUR',
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'stake_currency': 'EUR',
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'hasQuoteVolume': True,
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'timeframe': '1h',
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'leverage_tiers_public': False,
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'leverage_in_spot_market': False,
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},
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}
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@pytest.fixture(scope="class")
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def exchange_conf():
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config = get_default_conf_usdt((Path(__file__).parent / "testdata").resolve())
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config['exchange']['pair_whitelist'] = []
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config['exchange']['key'] = ''
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config['exchange']['secret'] = ''
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config['dry_run'] = False
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config['entry_pricing']['use_order_book'] = True
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config['exit_pricing']['use_order_book'] = True
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return config
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def set_test_proxy(config: Config, use_proxy: bool) -> Config:
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# Set proxy to test in CI.
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import os
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if use_proxy and (proxy := os.environ.get('CI_WEB_PROXY')):
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config1 = deepcopy(config)
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config1['exchange']['ccxt_config'] = {
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"aiohttp_proxy": proxy,
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'proxies': {
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'https': proxy,
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'http': proxy,
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}
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}
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return config1
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return config
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@pytest.fixture(params=EXCHANGES, scope="class")
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def exchange(request, exchange_conf):
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exchange_conf = set_test_proxy(
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exchange_conf, EXCHANGES[request.param].get('use_ci_proxy', False))
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exchange_conf['exchange']['name'] = request.param
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exchange_conf['stake_currency'] = EXCHANGES[request.param]['stake_currency']
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exchange = ExchangeResolver.load_exchange(request.param, exchange_conf, validate=True)
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yield exchange, request.param
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@pytest.fixture(params=EXCHANGES, scope="class")
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def exchange_futures(request, exchange_conf, class_mocker):
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if EXCHANGES[request.param].get('futures') is not True:
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yield None, request.param
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else:
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exchange_conf = set_test_proxy(
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exchange_conf, EXCHANGES[request.param].get('use_ci_proxy', False))
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exchange_conf = deepcopy(exchange_conf)
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exchange_conf['exchange']['name'] = request.param
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exchange_conf['trading_mode'] = 'futures'
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exchange_conf['margin_mode'] = 'isolated'
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exchange_conf['stake_currency'] = EXCHANGES[request.param]['stake_currency']
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class_mocker.patch(
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'freqtrade.exchange.binance.Binance.fill_leverage_tiers')
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class_mocker.patch(f'{EXMS}.fetch_trading_fees')
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class_mocker.patch('freqtrade.exchange.okx.Okx.additional_exchange_init')
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class_mocker.patch('freqtrade.exchange.binance.Binance.additional_exchange_init')
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class_mocker.patch('freqtrade.exchange.bybit.Bybit.additional_exchange_init')
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class_mocker.patch(f'{EXMS}.load_cached_leverage_tiers', return_value=None)
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class_mocker.patch(f'{EXMS}.cache_leverage_tiers')
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exchange = ExchangeResolver.load_exchange(
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request.param, exchange_conf, validate=True, load_leverage_tiers=True)
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yield exchange, request.param
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@pytest.mark.longrun
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class TestCCXTExchange():
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def test_load_markets(self, exchange: EXCHANGE_FIXTURE_TYPE):
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exch, exchangename = exchange
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pair = EXCHANGES[exchangename]['pair']
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markets = exch.markets
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assert pair in markets
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assert isinstance(markets[pair], dict)
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assert exch.market_is_spot(markets[pair])
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def test_has_validations(self, exchange: EXCHANGE_FIXTURE_TYPE):
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exch, exchangename = exchange
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exch.validate_ordertypes({
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'entry': 'limit',
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'exit': 'limit',
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'stoploss': 'limit',
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})
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if exchangename == 'gate':
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# gate doesn't have market orders on spot
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return
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exch.validate_ordertypes({
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'entry': 'market',
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'exit': 'market',
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'stoploss': 'market',
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})
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def test_load_markets_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
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exchange, exchangename = exchange_futures
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if not exchange:
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# exchange_futures only returns values for supported exchanges
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return
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pair = EXCHANGES[exchangename]['pair']
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pair = EXCHANGES[exchangename].get('futures_pair', pair)
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markets = exchange.markets
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assert pair in markets
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assert isinstance(markets[pair], dict)
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assert exchange.market_is_future(markets[pair])
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def test_ccxt_order_parse(self, exchange: EXCHANGE_FIXTURE_TYPE):
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exch, exchange_name = exchange
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if orders := EXCHANGES[exchange_name].get('sample_order'):
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for order in orders:
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po = exch._api.parse_order(order)
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assert isinstance(po['id'], str)
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assert po['id'] is not None
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if len(order.keys()) < 5:
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# Kucoin case
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assert po['status'] == 'closed'
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continue
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assert po['timestamp'] == 1674493798550
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assert isinstance(po['datetime'], str)
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assert isinstance(po['timestamp'], int)
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assert isinstance(po['price'], float)
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assert po['price'] == 15.5
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if po['average'] is not None:
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assert isinstance(po['average'], float)
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assert po['average'] == 15.5
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assert po['symbol'] == 'SOL/USDT'
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assert isinstance(po['amount'], float)
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assert po['amount'] == 1.1
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assert isinstance(po['status'], str)
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else:
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pytest.skip(f"No sample order available for exchange {exchange_name}")
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def test_ccxt_fetch_tickers(self, exchange: EXCHANGE_FIXTURE_TYPE):
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exch, exchangename = exchange
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pair = EXCHANGES[exchangename]['pair']
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tickers = exch.get_tickers()
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assert pair in tickers
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assert 'ask' in tickers[pair]
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assert tickers[pair]['ask'] is not None
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assert 'bid' in tickers[pair]
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assert tickers[pair]['bid'] is not None
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assert 'quoteVolume' in tickers[pair]
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if EXCHANGES[exchangename].get('hasQuoteVolume'):
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assert tickers[pair]['quoteVolume'] is not None
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def test_ccxt_fetch_tickers_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
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exch, exchangename = exchange_futures
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if not exch or exchangename in ('gate'):
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# exchange_futures only returns values for supported exchanges
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return
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pair = EXCHANGES[exchangename]['pair']
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pair = EXCHANGES[exchangename].get('futures_pair', pair)
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tickers = exch.get_tickers()
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assert pair in tickers
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assert 'ask' in tickers[pair]
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assert tickers[pair]['ask'] is not None
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assert 'bid' in tickers[pair]
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assert tickers[pair]['bid'] is not None
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assert 'quoteVolume' in tickers[pair]
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if EXCHANGES[exchangename].get('hasQuoteVolumeFutures'):
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assert tickers[pair]['quoteVolume'] is not None
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def test_ccxt_fetch_ticker(self, exchange: EXCHANGE_FIXTURE_TYPE):
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exch, exchangename = exchange
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pair = EXCHANGES[exchangename]['pair']
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ticker = exch.fetch_ticker(pair)
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assert 'ask' in ticker
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assert ticker['ask'] is not None
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assert 'bid' in ticker
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assert ticker['bid'] is not None
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assert 'quoteVolume' in ticker
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if EXCHANGES[exchangename].get('hasQuoteVolume'):
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assert ticker['quoteVolume'] is not None
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def test_ccxt_fetch_l2_orderbook(self, exchange: EXCHANGE_FIXTURE_TYPE):
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exch, exchangename = exchange
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pair = EXCHANGES[exchangename]['pair']
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l2 = exch.fetch_l2_order_book(pair)
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assert 'asks' in l2
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assert 'bids' in l2
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assert len(l2['asks']) >= 1
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assert len(l2['bids']) >= 1
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l2_limit_range = exch._ft_has['l2_limit_range']
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l2_limit_range_required = exch._ft_has['l2_limit_range_required']
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if exchangename == 'gate':
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# TODO: Gate is unstable here at the moment, ignoring the limit partially.
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return
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for val in [1, 2, 5, 25, 50, 100]:
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if val > 50 and exchangename == 'bybit':
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continue
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l2 = exch.fetch_l2_order_book(pair, val)
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if not l2_limit_range or val in l2_limit_range:
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if val > 50:
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# Orderbooks are not always this deep.
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assert val - 5 < len(l2['asks']) <= val
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assert val - 5 < len(l2['bids']) <= val
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else:
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assert len(l2['asks']) == val
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assert len(l2['bids']) == val
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else:
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next_limit = exch.get_next_limit_in_list(
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val, l2_limit_range, l2_limit_range_required)
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if next_limit is None:
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assert len(l2['asks']) > 100
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assert len(l2['asks']) > 100
|
|
elif next_limit > 200:
|
|
# Large orderbook sizes can be a problem for some exchanges (bitrex ...)
|
|
assert len(l2['asks']) > 200
|
|
assert len(l2['asks']) > 200
|
|
else:
|
|
assert len(l2['asks']) == next_limit
|
|
assert len(l2['asks']) == next_limit
|
|
|
|
def test_ccxt_fetch_ohlcv(self, exchange: EXCHANGE_FIXTURE_TYPE):
|
|
exch, exchangename = exchange
|
|
pair = EXCHANGES[exchangename]['pair']
|
|
timeframe = EXCHANGES[exchangename]['timeframe']
|
|
|
|
pair_tf = (pair, timeframe, CandleType.SPOT)
|
|
|
|
ohlcv = exch.refresh_latest_ohlcv([pair_tf])
|
|
assert isinstance(ohlcv, dict)
|
|
assert len(ohlcv[pair_tf]) == len(exch.klines(pair_tf))
|
|
# assert len(exch.klines(pair_tf)) > 200
|
|
# Assume 90% uptime ...
|
|
assert len(exch.klines(pair_tf)) > exch.ohlcv_candle_limit(
|
|
timeframe, CandleType.SPOT) * 0.90
|
|
# Check if last-timeframe is within the last 2 intervals
|
|
now = datetime.now(timezone.utc) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
|
|
assert exch.klines(pair_tf).iloc[-1]['date'] >= timeframe_to_prev_date(timeframe, now)
|
|
|
|
def ccxt__async_get_candle_history(self, exchange, exchangename, pair, timeframe, candle_type):
|
|
|
|
timeframe_ms = timeframe_to_msecs(timeframe)
|
|
now = timeframe_to_prev_date(
|
|
timeframe, datetime.now(timezone.utc))
|
|
for offset in (360, 120, 30, 10, 5, 2):
|
|
since = now - timedelta(days=offset)
|
|
since_ms = int(since.timestamp() * 1000)
|
|
|
|
res = exchange.loop.run_until_complete(exchange._async_get_candle_history(
|
|
pair=pair,
|
|
timeframe=timeframe,
|
|
since_ms=since_ms,
|
|
candle_type=candle_type
|
|
)
|
|
)
|
|
assert res
|
|
assert res[0] == pair
|
|
assert res[1] == timeframe
|
|
assert res[2] == candle_type
|
|
candles = res[3]
|
|
candle_count = exchange.ohlcv_candle_limit(timeframe, candle_type, since_ms) * 0.9
|
|
candle_count1 = (now.timestamp() * 1000 - since_ms) // timeframe_ms
|
|
assert len(candles) >= min(candle_count, candle_count1)
|
|
assert candles[0][0] == since_ms or (since_ms + timeframe_ms)
|
|
|
|
def test_ccxt__async_get_candle_history(self, exchange: EXCHANGE_FIXTURE_TYPE):
|
|
exc, exchangename = exchange
|
|
if exchangename in ('bittrex'):
|
|
# For some weired reason, this test returns random lengths for bittrex.
|
|
pytest.skip("Exchange doesn't provide stable ohlcv history")
|
|
|
|
if not exc._ft_has['ohlcv_has_history']:
|
|
pytest.skip("Exchange does not support candle history")
|
|
pair = EXCHANGES[exchangename]['pair']
|
|
timeframe = EXCHANGES[exchangename]['timeframe']
|
|
self.ccxt__async_get_candle_history(
|
|
exc, exchangename, pair, timeframe, CandleType.SPOT)
|
|
|
|
def test_ccxt__async_get_candle_history_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
|
|
exchange, exchangename = exchange_futures
|
|
if not exchange:
|
|
# exchange_futures only returns values for supported exchanges
|
|
return
|
|
pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
|
|
timeframe = EXCHANGES[exchangename]['timeframe']
|
|
self.ccxt__async_get_candle_history(
|
|
exchange, exchangename, pair, timeframe, CandleType.FUTURES)
|
|
|
|
def test_ccxt_fetch_funding_rate_history(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
|
|
exchange, exchangename = exchange_futures
|
|
if not exchange:
|
|
# exchange_futures only returns values for supported exchanges
|
|
return
|
|
|
|
pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
|
|
since = int((datetime.now(timezone.utc) - timedelta(days=5)).timestamp() * 1000)
|
|
timeframe_ff = exchange._ft_has.get('funding_fee_timeframe',
|
|
exchange._ft_has['mark_ohlcv_timeframe'])
|
|
pair_tf = (pair, timeframe_ff, CandleType.FUNDING_RATE)
|
|
|
|
funding_ohlcv = exchange.refresh_latest_ohlcv(
|
|
[pair_tf],
|
|
since_ms=since,
|
|
drop_incomplete=False)
|
|
|
|
assert isinstance(funding_ohlcv, dict)
|
|
rate = funding_ohlcv[pair_tf]
|
|
|
|
this_hour = timeframe_to_prev_date(timeframe_ff)
|
|
hour1 = timeframe_to_prev_date(timeframe_ff, this_hour - timedelta(minutes=1))
|
|
hour2 = timeframe_to_prev_date(timeframe_ff, hour1 - timedelta(minutes=1))
|
|
hour3 = timeframe_to_prev_date(timeframe_ff, hour2 - timedelta(minutes=1))
|
|
val0 = rate[rate['date'] == this_hour].iloc[0]['open']
|
|
val1 = rate[rate['date'] == hour1].iloc[0]['open']
|
|
val2 = rate[rate['date'] == hour2].iloc[0]['open']
|
|
val3 = rate[rate['date'] == hour3].iloc[0]['open']
|
|
|
|
# Test For last 4 hours
|
|
# Avoids random test-failure when funding-fees are 0 for a few hours.
|
|
assert val0 != 0.0 or val1 != 0.0 or val2 != 0.0 or val3 != 0.0
|
|
# We expect funding rates to be different from 0.0 - or moving around.
|
|
assert (
|
|
rate['open'].max() != 0.0 or rate['open'].min() != 0.0 or
|
|
(rate['open'].min() != rate['open'].max())
|
|
)
|
|
|
|
def test_ccxt_fetch_mark_price_history(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
|
|
exchange, exchangename = exchange_futures
|
|
if not exchange:
|
|
# exchange_futures only returns values for supported exchanges
|
|
return
|
|
pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
|
|
since = int((datetime.now(timezone.utc) - timedelta(days=5)).timestamp() * 1000)
|
|
pair_tf = (pair, '1h', CandleType.MARK)
|
|
|
|
mark_ohlcv = exchange.refresh_latest_ohlcv(
|
|
[pair_tf],
|
|
since_ms=since,
|
|
drop_incomplete=False)
|
|
|
|
assert isinstance(mark_ohlcv, dict)
|
|
expected_tf = '1h'
|
|
mark_candles = mark_ohlcv[pair_tf]
|
|
|
|
this_hour = timeframe_to_prev_date(expected_tf)
|
|
prev_hour = timeframe_to_prev_date(expected_tf, this_hour - timedelta(minutes=1))
|
|
|
|
assert mark_candles[mark_candles['date'] == prev_hour].iloc[0]['open'] != 0.0
|
|
assert mark_candles[mark_candles['date'] == this_hour].iloc[0]['open'] != 0.0
|
|
|
|
def test_ccxt__calculate_funding_fees(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
|
|
exchange, exchangename = exchange_futures
|
|
if not exchange:
|
|
# exchange_futures only returns values for supported exchanges
|
|
return
|
|
pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
|
|
since = datetime.now(timezone.utc) - timedelta(days=5)
|
|
|
|
funding_fee = exchange._fetch_and_calculate_funding_fees(
|
|
pair, 20, is_short=False, open_date=since)
|
|
|
|
assert isinstance(funding_fee, float)
|
|
# assert funding_fee > 0
|
|
|
|
# TODO: tests fetch_trades (?)
|
|
|
|
def test_ccxt_get_fee(self, exchange: EXCHANGE_FIXTURE_TYPE):
|
|
exch, exchangename = exchange
|
|
pair = EXCHANGES[exchangename]['pair']
|
|
threshold = 0.01
|
|
assert 0 < exch.get_fee(pair, 'limit', 'buy') < threshold
|
|
assert 0 < exch.get_fee(pair, 'limit', 'sell') < threshold
|
|
assert 0 < exch.get_fee(pair, 'market', 'buy') < threshold
|
|
assert 0 < exch.get_fee(pair, 'market', 'sell') < threshold
|
|
|
|
def test_ccxt_get_max_leverage_spot(self, exchange: EXCHANGE_FIXTURE_TYPE):
|
|
spot, spot_name = exchange
|
|
if spot:
|
|
leverage_in_market_spot = EXCHANGES[spot_name].get('leverage_in_spot_market')
|
|
if leverage_in_market_spot:
|
|
spot_pair = EXCHANGES[spot_name].get('pair', EXCHANGES[spot_name]['pair'])
|
|
spot_leverage = spot.get_max_leverage(spot_pair, 20)
|
|
assert (isinstance(spot_leverage, float) or isinstance(spot_leverage, int))
|
|
assert spot_leverage >= 1.0
|
|
|
|
def test_ccxt_get_max_leverage_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
|
|
futures, futures_name = exchange_futures
|
|
if futures:
|
|
leverage_tiers_public = EXCHANGES[futures_name].get('leverage_tiers_public')
|
|
if leverage_tiers_public:
|
|
futures_pair = EXCHANGES[futures_name].get(
|
|
'futures_pair',
|
|
EXCHANGES[futures_name]['pair']
|
|
)
|
|
futures_leverage = futures.get_max_leverage(futures_pair, 20)
|
|
assert (isinstance(futures_leverage, float) or isinstance(futures_leverage, int))
|
|
assert futures_leverage >= 1.0
|
|
|
|
def test_ccxt_get_contract_size(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
|
|
futures, futures_name = exchange_futures
|
|
if futures:
|
|
futures_pair = EXCHANGES[futures_name].get(
|
|
'futures_pair',
|
|
EXCHANGES[futures_name]['pair']
|
|
)
|
|
contract_size = futures.get_contract_size(futures_pair)
|
|
assert (isinstance(contract_size, float) or isinstance(contract_size, int))
|
|
assert contract_size >= 0.0
|
|
|
|
def test_ccxt_load_leverage_tiers(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
|
|
futures, futures_name = exchange_futures
|
|
if futures and EXCHANGES[futures_name].get('leverage_tiers_public'):
|
|
leverage_tiers = futures.load_leverage_tiers()
|
|
futures_pair = EXCHANGES[futures_name].get(
|
|
'futures_pair',
|
|
EXCHANGES[futures_name]['pair']
|
|
)
|
|
assert (isinstance(leverage_tiers, dict))
|
|
assert futures_pair in leverage_tiers
|
|
pair_tiers = leverage_tiers[futures_pair]
|
|
assert len(pair_tiers) > 0
|
|
oldLeverage = float('inf')
|
|
oldMaintenanceMarginRate = oldminNotional = oldmaxNotional = -1
|
|
for tier in pair_tiers:
|
|
for key in [
|
|
'maintenanceMarginRate',
|
|
'minNotional',
|
|
'maxNotional',
|
|
'maxLeverage'
|
|
]:
|
|
assert key in tier
|
|
assert tier[key] >= 0.0
|
|
assert tier['maxNotional'] > tier['minNotional']
|
|
assert tier['maxLeverage'] <= oldLeverage
|
|
assert tier['maintenanceMarginRate'] >= oldMaintenanceMarginRate
|
|
assert tier['minNotional'] > oldminNotional
|
|
assert tier['maxNotional'] > oldmaxNotional
|
|
oldLeverage = tier['maxLeverage']
|
|
oldMaintenanceMarginRate = tier['maintenanceMarginRate']
|
|
oldminNotional = tier['minNotional']
|
|
oldmaxNotional = tier['maxNotional']
|
|
|
|
def test_ccxt_dry_run_liquidation_price(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
|
|
futures, futures_name = exchange_futures
|
|
if futures and EXCHANGES[futures_name].get('leverage_tiers_public'):
|
|
|
|
futures_pair = EXCHANGES[futures_name].get(
|
|
'futures_pair',
|
|
EXCHANGES[futures_name]['pair']
|
|
)
|
|
|
|
liquidation_price = futures.dry_run_liquidation_price(
|
|
pair=futures_pair,
|
|
open_rate=40000,
|
|
is_short=False,
|
|
amount=100,
|
|
stake_amount=100,
|
|
leverage=5,
|
|
wallet_balance=100,
|
|
)
|
|
assert (isinstance(liquidation_price, float))
|
|
assert liquidation_price >= 0.0
|
|
|
|
liquidation_price = futures.dry_run_liquidation_price(
|
|
pair=futures_pair,
|
|
open_rate=40000,
|
|
is_short=False,
|
|
amount=100,
|
|
stake_amount=100,
|
|
leverage=5,
|
|
wallet_balance=100,
|
|
)
|
|
assert (isinstance(liquidation_price, float))
|
|
assert liquidation_price >= 0.0
|
|
|
|
def test_ccxt_get_max_pair_stake_amount(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
|
|
futures, futures_name = exchange_futures
|
|
if futures:
|
|
futures_pair = EXCHANGES[futures_name].get(
|
|
'futures_pair',
|
|
EXCHANGES[futures_name]['pair']
|
|
)
|
|
max_stake_amount = futures.get_max_pair_stake_amount(futures_pair, 40000)
|
|
assert (isinstance(max_stake_amount, float))
|
|
assert max_stake_amount >= 0.0
|